Remote ML Data Analyst for Market Insights

Agency; Rosario; Remote; ARS 68,772,000 - 114,619,000; Full time

Benefits offered by this job

PTO days

100% remote

US holidays

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a US-based marketing analytics client. You will analyze large consumer and retail datasets using SQL and Python to produce actionable insights.

The role welcomes recent graduates with quantitative coursework and mid-level analysts seeking to deepen data manipulation and modeling skills. 100% remote, LATAM-friendly, English-focused.

Qualifications

• 0 to 4 years in Data Analysis or related roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic.
• Python scripting for data cleaning and processing, with pandas proficiency.
• Familiarity with scikit-learn or statsmodels for predictive modeling.
• Experience with messy text fields: cleaning, parsing, filtering, and pattern matching.
• Bachelor's degree with coursework covering database management or quantitative data analysis.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning or statistical models to uncover consumer insights and forecast trends.
• Slice, unpivot, and aggregate data to calculate core metrics like household penetration and market share.
• Build and maintain clean data tables and views feeding dashboards and reports.
• Review outputs, audit data, and ensure accuracy before insights are finalized.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

scikit-learn

statsmodels

English

Data cleaning

Data transformation

Education

Bachelor's degree in Business Analytics

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a US-based marketing analytics client. You will analyze large consumer and retail datasets using SQL and Python to produce actionable insights.

The role welcomes recent graduates with quantitative coursework and mid-level analysts seeking to deepen data manipulation and modeling skills. 100% remote, LATAM-friendly, English-focused.